( en | de | ru )

 

Disambiguation of "Abdollahi, Hamid"

Author of the publication

copydeleteadd this publication to your clipboard
Implementation of an FPGA-based low-power video processing module for a head-mounted display system.

, , , , and . ICCE, page 214-217. IEEE, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jafar Abdollahi

Amir Abdollahi

Amir Abdollahi

Zahra Hamidi

Ahmad Hamidov

 

Other publications of authors with the same name

A digitally assisted technique to improve rectifier efficiency in wireless energy harvesting systems., , , , and . ICCE, page 103-104. IEEE, (2016)COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images., , , , , , , , , and 6 other author(s). Int. J. Imaging Syst. Technol., 32 (1): 12-25 (2022)Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection., , , , , , , , , and 1 other author(s). Comput. Biol. Medicine, (2022)Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study., , , , , , , , , and 32 other author(s). Int. J. Imaging Syst. Technol., (March 2024)PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients., , , , , , , and . CoRR, (2019)Implementation of an FPGA-based low-power video processing module for a head-mounted display system., , , , and . ICCE, page 214-217. IEEE, (2013)Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis., , , , , , and . CoRR, (2019)Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning., , , , , , and . CoRR, (2019)Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches., , , , , , , and . CoRR, (2019)Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients., , , , , , , , , and 6 other author(s). Comput. Biol. Medicine, (2021)